Acoustic Neural Network Scene Detection

2. The method of claim 1, wherein the attention layer is a fully connected neural network layer.

3. The method of claim 1, wherein the recursive neural network layer processes the audio feature data from the convolutional neural network layer over time steps of recursive neural network layer.

4. The method of claim 3, wherein the audio feature data generated by the convolutional neural network layer is weighted by the attention layer for each of the time steps, and wherein the data processed by the recursive neural network layer is the weighted audio feature data.

6. The method of claim 1, wherein the attention layer is trained to generate the acoustic classification using backpropagation.

7. The method of claim 6, wherein the acoustic classification neural network is trained on training audio from one or more different environments including at least an outdoor environment and an indoor environment.

12. The system of claim 11, wherein the attention layer is a fully connected neural network layer.

13. The system of claim 11, wherein the recursive neural network layer processes the audio feature data from the convolutional neural network layer over time steps of recursive neural network layer.

14. The system of claim 13, wherein the audio feature data generated by the convolutional neural network layer is weighted by the attention layer for each of the time steps, and wherein the data processed by the recursive neural network layer is the weighted audio feature data.

16. The system of claim 11, wherein the attention layer is trained to generate the acoustic classification using backpropagation.

17. The system of claim 16, wherein the acoustic classification neural network is trained on training audio from one or more different environments including at least an outdoor environment and an indoor environment.